Package: pridit
Type: Package
Title: Composite Scoring via Principal Component Analysis of Ridit
        Scores
Version: 1.1.1
Authors@R: person("Robert D.", "Lieberthal",
                  email   = "rlieberthal@gmail.com",
                  role    = c("aut", "cre"))
Description: 
    Implements 'PRIDIT' (Principal Component Analysis applied to 'RIDITs'), an
    unsupervised, nonparametric method for aggregating ordinal, categorical,
    and continuous indicators into a single interpretable composite score.
    Originally proposed by Brockett et al. (2002)
    <doi:10.1111/1539-6975.00027> for insurance fraud detection and
    extended to hospital quality measurement by Lieberthal (2008)
    <doi:10.1111/j.1475-6773.2007.00821.x> and Lieberthal and Comer (2013)
    <doi:10.1111/rmir.12009>.
    The package provides:
    (1) low-level functions ridit(), PRIDITweight(), and PRIDITscore();
    (2) a unified pridit() entry point returning a classed object with
        print, summary, 'autoplot', and 'coef' methods;
    (3) pridit_boot() for bootstrap confidence intervals on scores and weights;
    (4) a step_pridit() recipe step for out-of-sample scoring within the
        'tidymodels' framework; and
    (5) pridit_longitudinal() for panel data, computing cross-period
        stability of scores and weights.
License: Apache License (>= 2)
URL: https://github.com/rlieberthal/PRIDIT
BugReports: https://github.com/rlieberthal/PRIDIT/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: ggplot2 (>= 3.4.0), rlang, stats, utils
Suggests: generics, patchwork, recipes (>= 1.0.0), testthat (>= 3.0.0),
        knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-05-31 15:29:09 UTC; roblieberthal
Author: Robert D. Lieberthal [aut, cre]
Maintainer: Robert D. Lieberthal <rlieberthal@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-31 16:20:02 UTC
Built: R 4.6.0; ; 2026-05-31 19:26:59 UTC; unix
